What we are looking for?

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information for building analytics systems
  • Processing, cleansing, and verifying the integrity of data used for analysis

 Required Skills and Experience:

  • 3 – 4 years of Experience
  • Machine Learning
  • Deep Learning
  • Scikit Learn
  • TensorFlow
  • Azure Cloud Machine Learning (Plus)
  •  Databricks (Plus)

工作详细内容

全部职位:
22 发布
工作时间:
早班
工作类型:
部门:
NetSol Financial Suite
工作地址:
性别:
没有偏好
最低学历:
学士
职位等级:
资深专业人员
经验:
3年 - 5年
在之前申请:
Oct 04, 2021
发布日期:
Sep 04, 2021

NetSol Technologies Limited

· 1001-1500 员工 - 拉合尔

We have been designing and engineering innovative solutions to power the global asset finance and leasing industry, including blue-chip organizations and Fortune 500 companies, to greater heights for as long as we have been in business, by streamlining their operations and enabling them to find their competitive edge. We have proudly been serving the world’s top asset finance and leasing companies with smart software technology for over four decades. The global NETSOL team, of over 1300 people, takes pride in ensuring that our customers benefit from our extensive knowledge base and keen industry insights and trends that are affecting today’s asset finance and leasing space. Our end-to-end product solutions have been powering retail and wholesale finance and leasing operations for more than 200 partners worldwide. With over $200B+ assets managed globally, 300+ successful implementations, and 25,000+ users globally, all while maintaining its 100% implementation success rate, NETSOL maintains its position as the leading solution provider to the North American finance and leasing industry. NETSOL has global offices in North America, Europe, and the Asia Pacific. NETSOL’s scalable solutions empower clients to effectively manage their complex multi-site and multi-currency operations and enable them to thrive in hyper-competitive markets globally.

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